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公开(公告)号：US08882664B2
公开(公告)日：2014-11-11
申请号：US13190748
申请日：2011-07-26
申请人： David S. Ebert , Ross Larry Maciejewski , Benjamin N. Tyner , Yun Jang , William Cleveland , Sandra Amass
发明人： David S. Ebert , Ross Larry Maciejewski , Benjamin N. Tyner , Yun Jang , William Cleveland , Sandra Amass
摘要： A system and method for visually displaying and analyzing public health data for geospatial and/or time variations, including the collection of symptom data coupled with geographic and time data, filtering the symptom data based upon a selected time period and geographic range, and creating a visual result based upon statistical modeling including power transform and/or data normalization. According to at least one embodiment, the system for visually displaying and analyzing includes selecting and performing at least one aberration detection method such as applying CUSUM analysis, quantile measures, and/or bootstrapping analysis, and displaying the result to a user via a visual analytics arrangement.
摘要翻译： 一种用于视觉地显示和分析公共卫生数据以用于地理空间和/或时间变化的系统和方法，包括收集与地理和时间数据相结合的症状数据，基于所选择的时间段和地理范围过滤症状数据，以及创建 基于包括功率变换和/或数据归一化的统计建模的视觉结果。 根据至少一个实施例，用于视觉显示和分析的系统包括选择和执行至少一个像差检测方法，例如应用CUSUM分析，分位数度量和/或引导分析，以及通过视觉分析将结果显示给用户 安排。
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公开(公告)号：US20090137881A1
公开(公告)日：2009-05-28
申请号：US12286756
申请日：2008-10-01
申请人： David S. Ebert , Ross Larry Maciejewski , Benjamin N. Tyner , Yun Jang , William Cleveland , Sandra Amass
发明人： David S. Ebert , Ross Larry Maciejewski , Benjamin N. Tyner , Yun Jang , William Cleveland , Sandra Amass
IPC分类号： A61B5/00
CPC分类号： G16H50/80
摘要： Coordinated animal-human health monitoring can provide an early warning system with fewer false alarms for naturally occurring disease outbreaks, as well as biological, chemical and environmental incidents. This monitoring requires the integration and analysis of multi-field, multi-scale and multi-source data sets. In order to better understand these data sets, models and measurements at different resolutions must be analyzed. To facilitate these investigations, we have created an application to provide a visual analytics framework for analyzing both human emergency room data and veterinary hospital data. Our integrated visual analytic tool links temporally varying geospatial visualization of animal and human patient health information with advanced statistical analysis of these multi-source data. Various statistical analysis techniques have been applied in conjunction with a spatio-temporal viewing window. Such an application provides researchers with the ability to visually search the data for clusters in both a statistical model view and a spatio-temporal view. Our interface provides a factor specification/filtering component to allow exploration of causal factors and spread patterns. In this paper, we will discuss the application of our linked animal-human visual analytics (LAHVA) tool to two specific case studies. The first case study is the effect of seasonal influenza and its correlation with different companion animals (e.g., cats, dogs) syndromes. Here we use data from the Indiana Network for Patient Care (INPC) and Banfield Pet Hospitals in an attempt to determine if there are correlations between respiratory syndromes representing the onset of seasonal influenza in humans and general respiratory syndromes in cats and dogs. Our second case study examines the effect of the release of industrial wastewater in a community through companion animal surveillance.
摘要翻译： 协调的动物 - 人类健康监测可以为自然发生的疾病暴发以及生物，化学和环境事件提供较少的假警报的预警系统。 这种监控需要对多场，多尺度和多源数据集的集成和分析。 为了更好地了解这些数据集，必须分析不同分辨率下的模型和测量。 为了方便这些调查，我们创建了一个应用程序，为人类急诊室数据和兽医医院数据的分析提供可视化分析框架。 我们的综合视觉分析工具通过对这些多源数据的高级统计分析，将时间上不同的动物和人类患者健康信息的地理空间可视化联系起来。 各种统计分析技术已经与时空观察窗口结合使用。 这样的应用程序为研究人员提供了在统计模型视图和时空视图中可视化搜索数据的能力。 我们的界面提供了一个因素规范/过滤组件，以便探索因果因素和扩散模式。 在本文中，我们将讨论我们链接的动物 - 人类视觉分析（LAHVA）工具在两个具体案例研究中的应用。 第一个案例研究是季节性流感及其与不同伴侣动物（例如猫，狗）综合征的相关性的影响。 在这里，我们使用印第安纳病人护理网（INPC）和Banfield宠物医院的数据，试图确定代表人类季节性流感和猫和狗一般呼吸综合征的呼吸综合征之间是否存在相关性。 我们的第二个案例研究通过伴随的动物监视来研究工业废水在社区中的释放效应。
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公开(公告)号：US20120035429A1
公开(公告)日：2012-02-09
申请号：US13190748
申请日：2011-07-26
申请人： David S. Ebert , Ross Larry Maciejewski , Benjamin N. Tyner , Yun Jang , William Cleveland , Sandra Amass
发明人： David S. Ebert , Ross Larry Maciejewski , Benjamin N. Tyner , Yun Jang , William Cleveland , Sandra Amass
IPC分类号： A61B5/00
摘要： A system and method for visually displaying and analyzing public health data for geospatial and/or time variations, including the collection of symptom data coupled with geographic and time data, filtering the symptom data based upon a selected time period and geographic range, and creating a visual result based upon statistical modeling including power transform and/or data normalization. According to at least one embodiment, the system for visually displaying and analyzing includes selecting and performing at least one aberration detection method such as applying CUSUM analysis, quantile measures, and/or bootstrapping analysis, and displaying the result to a user via a visual analytics arrangement.
摘要翻译： 一种用于视觉地显示和分析公共卫生数据以用于地理空间和/或时间变化的系统和方法，包括收集与地理和时间数据相结合的症状数据，基于所选择的时间段和地理范围过滤症状数据，以及创建 基于包括功率变换和/或数据归一化的统计建模的视觉结果。 根据至少一个实施例，用于视觉显示和分析的系统包括选择和执行至少一个像差检测方法，例如应用CUSUM分析，分位数度量和/或引导分析，以及通过视觉分析将结果显示给用户 安排。
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